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Etude de la concentration des métaux traces chez <Hexaplex trunculus> (muricidae) le long du littoral Tunisien OceanDocs
Chouba, L.; Tissaoui, Ch.; El Abed, A..
La Tunisie dispose d’une ressource importante en coquillages, plusieurs espèces sont commercialisées et elles ont fait l’objet de programmes de qualité pour la sauvegarde de la santé humaine. Dans ce contexte, nous avons réalisé un suivi saisonnier de la concentration de trois métaux traces toxiques, le cadmium (Cd), le plomb (Pb), et le mercure (Hg) dans la totalité de la masse molle, dans le pied et dans les viscères d’un Mollusque Gastéropode, l’Hexaplex trunculus communément appelé en Tunisie « Bakouma ». Les Hexaplex proviennent des golfes de Tunis et de Gabès et des lagunes de Bizerte et de Tunis durant la période 2003 - 2004. Les échantillons sont analysés par spectrométrie d’absorption atomique (SAA) à four graphite et à correction Zeeman (Varian...
Tipo: Journal Contribution Palavras-chave: Hexaplex trunculus; Pollution monitoring; Trace metals; Marine molluscs.
Ano: 2008 URL: http://hdl.handle.net/1834/3777
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The role of ecology in marine pollution monitoring OMA
Gray, J.S.; Boesch, D.; Heip, C.H.R.; Jones, A.M.; Lassig, J.; Vanderhorst, R.; Wolfe, D..
Tipo: Info:eu-repo/semantics/article Palavras-chave: Ecology; Pollution monitoring.
Ano: 1980 URL: http://www.vliz.be/imisdocs/publications/260467.pdf
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DETECTING EVIDENCE OF NON-COMPLIANCE IN SELF-REPORTED POLLUTION EMISSIONS DATA: AN APPLICATION OF BENFORD'S LAW AgEcon
Dumas, Christopher F.; Devine, John H..
The paper introduces Digital Frequency Analysis (DFA) based on Benford's Law as a new technique for detecting non-compliance in self-reported pollution emissions data. Public accounting firms are currently adopting DFA to detect fraud in financial data. We argue that DFA can be employed by environmental regulators to detect fraud in self-reported pollution emissions data. The theory of Benford's Law is reviewed, and statistical justifications for its potentially widespread applicability are presented. Several common DFA tests are described and applied to North Carolina air pollution emissions data in an empirical example.
Tipo: Conference Paper or Presentation Palavras-chave: Benford; Digital frequency analysis; Pollution monitoring; Pollution regulation; Enforcement; Environmental Economics and Policy; Q25; Q28.
Ano: 2000 URL: http://purl.umn.edu/21740
Registros recuperados: 23
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